Search Results for author: Sevinj Yolchuyeva

Found 2 papers, 1 papers with code

Self-Attention Networks for Intent Detection

no code implementations • RANLP 2019 • Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth

Self-attention networks (SAN) have shown promising performance in various Natural Language Processing (NLP) scenarios, especially in machine translation.

Intent Detection Machine Translation +2

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Transformer based Grapheme-to-Phoneme Conversion

1 code implementation • arXiv preprint 2019 • Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth

The transformer network architecture is completely based on attention mechanisms, and it outperforms sequence-to-sequence models in neural machine translation without recurrent and convolutional layers.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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